Chaos Particle Swarm Optimization Applications in the TSP problem

Le-geng, Chen; Wang, Zhida; He, Chuangyi

doi:10.1109/wgec.2009.194

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2011

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“…Chaotic Particle Swarm Optimization (CPSO) [8][9], which is a combined method of Particle Swarm Optimization (PSO) [10][11] and Chaos theory [12], could avoid local extremum of the basic PSO that it has a better optimization performance. In this paper CPSO and SVM are combined to form a novel fault diagnosis approach called CPSO-SVM, in which CPSO is used to optimize the parameters of SVM.…”

Section: Introductionmentioning

confidence: 99%

Analog circuit fault diagnosis method based on CPSO-SVM

Wang

Shan

Zhang

et al. 2011

2011 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering

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To realize feature extraction and fault signal recognition efficiently in analog circuit fault diagnosis, a novel diagnosis method called CPSO-SVM is proposed. In this method, Chaos theory and Particle Swarm Optimization (PSO) are combined to form a new approach called CPSO and this approach is applied to the optimization of SVM parameters. A fault diagnosis experiment on a certain filter circuit indicates that the proposed diagnosis method is feasible and efficient.

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Section: Introductionmentioning

confidence: 99%